• At the moment, AI is most commonly used to replace humans in repetitive, menial jobs, which frees up human resources to complete more complex tasks that are better suited to humans. 

  • For example, AI could be used to replace online company representatives, or people who are answering questions on the behalf of businesses, which means that people no longer need to wait for people to talk to because they can have their questions answered by robots. 

• AI improves efficiency because it can go through massive amounts of data very quickly in the way that humans cannot, and it can make workplaces safer because human’s lives would no longer be at risk because AI would be doing the jobs. 

• AI can also be used to go through complaints by customers, to find patterns and come up with a way to quickly improve, and this is a far quicker process with AI carrying this out than having humans do so. 

• AI can sort through data about patients in hospitals, freeing up doctors and also more quickly giving a diagnosis, which is important for obvious reasons. It can sift through legal documents and narrow down the important information to free up the time of lawyers for more important work than going through data. AI obviously doesn’t need to be paid, so while it may result is a larger start-up cost for businesses, it will reduce the overall cost because they will not need to pay employees to work for them. 

• 10 Amazing Examples Of How Deep Learning AI Is Used In Practice

• 10 mind-blowing AI websites you probably didn't know existed

• self-driving car (autonomous car or driverless car)

"AI implementation requires considerable investment in the team. The team typically consists of data engineers, data scientists & domain experts to build good mathematical algorithms. These algorithms are translated into software solutions by product development teams." (talentica.com)

Hard Facts about AI implementation in business (spiceworks.com):

• More than 9 out of 10 (91%) top businesses report having an ongoing investment in AI, as noted in a NewVantage, 2022 research. 

• According to a McKinsey survey, high-performing companies attribute most of their profits to their integration and use of AI. 

• A Forbes report discusses that 2022 could see the “collective shift away from point solutions toward holistic platforms that offer a suite of business solutions.” 

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